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Recent Blog Posts
Codifying Rulesets in the Explainable Enterprise
The launch of Kimi’s K2 model was perhaps the most noteworthy AI-related news item of the past couple of weeks, and an indicator of the growing investment efficiency gap between China and the United States. Azeem Azhar’s coverage of the model and its implications,...
Is Enterprise AI Ultimately Less Risky than Consumer AI?
The debate about AI risks and potential harms is starting to bifurcate into the kind of toxic polarisation we are now used to seeing in politics, economics and other areas of life, amplified by online echo chambers. In addition to technical critics like Gary Marcus,...
Can Learning Help Overcome the AI Capability-Absorption Gap?
We are reaching a curious time for enterprise AI adoption. Organisational AI readiness is advancing far slower than the technology, and yet more and more large firms are warning employees that their jobs are likely to disappear or be transformed by automation and...
Agentic AI Needs Strong Foundations
The respected American venture capitalist Mary Meeker recently shared her first internet trends report since 2019, focused on AI and its future. It runs to 340 slides (with center-aligned text … grrr!), so it takes time to absorb. But in addition to its meta-level...
New Models and Old Challenges
It has been a busy couple of weeks for analysts covering new AI launches, with some impactful new models and agentic systems being announced that add up to a significant advance in capabilities. Hot on the heels of announcing Gemini 2.5 Pro, Google announced AI Mode...
Making the Invisible Visible
There was a quiet but era-defining shift last week when Google searches in Safari declined for the first time as a result of more people switching to AI tools for finding information. This could have far-reaching consequences both for Google and also for Apple, who...